@inproceedings{69b74c3aef55408e8264d0bb408b0c5c,
title = "Enhanced Dynamic Programming for Polygonal Approximation of ECG Signals",
abstract = "Polygonal approximation is suitable for expressing ECG signal with a few vertices, and it is possible to reliably detect the fiducial point by emphasizing the feature values of the fiducial point. However, there are difficulties in real time processing due to the time and space complexity of dynamic programming step. In this paper, based on the features of polygonal approximation in ECG signal, the dynamic programming is possible to realtime processing through the improvement of three-step, and it is confirmed that advanced polygonal approximation is possibility of signal compression.",
keywords = "dynamic programming, ECG, optimization, polygonal approximation, signal compression",
author = "Lee, \{Seung Min\} and Daejin Park",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2nd IEEE Global Conference on Life Sciences and Technologies, LifeTech 2020 ; Conference date: 10-03-2020 Through 12-03-2020",
year = "2020",
month = mar,
doi = "10.1109/LifeTech48969.2020.1570620076",
language = "English",
series = "LifeTech 2020 - 2020 IEEE 2nd Global Conference on Life Sciences and Technologies",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "121--122",
booktitle = "LifeTech 2020 - 2020 IEEE 2nd Global Conference on Life Sciences and Technologies",
address = "United States",
}